Geomorphic process signatures reshaping sub‐humid Mediterranean badlands: 2. Application to 5‐year dataset. Issue 5 (11th February 2020)
- Record Type:
- Journal Article
- Title:
- Geomorphic process signatures reshaping sub‐humid Mediterranean badlands: 2. Application to 5‐year dataset. Issue 5 (11th February 2020)
- Main Title:
- Geomorphic process signatures reshaping sub‐humid Mediterranean badlands: 2. Application to 5‐year dataset
- Authors:
- Llena, Manel
Smith, Mark W.
Wheaton, Joseph M.
Vericat, Damià - Abstract:
- Abstract: Badland landscapes exhibit high erosion rates and represent the main source of fine sediments in some catchments. Advances in high‐resolution topographic methods allow analysis of topographic changes at high temporal and spatial scales. We apply the Mapping Geomorphic Processes in the Environment (MaGPiE) algorithm to infer the main geomorphic process signatures operating in two sub‐humid badlands with contrasting morphometric attributes located in the Southern Pyrenees. By interrogating a 5‐year dataset of seasonal and annual topographic changes, we examine the variability of geomorphic processes at multiple temporal scales. The magnitude of geomorphic processes is linked to landform attributes and meteorological variables. Morphometric differences between both adjacent badlands allow us to analyse the role of landform attributes in the main geomorphic process reshaping landscapes subjected to the same external forcing (i.e. rainfall and temperature). The dominant geomorphic process signatures observed in both badlands are different, despite their close proximity and the same rainfall and temperature regimes. Process signatures determining surface lowering in the gently sloping south‐facing badland, characterized by lower connectivity and more vegetation cover, are driven by surface runoff‐based processes, both diffuse (causing sheet washing) and concentrated (determining cutting and filling, rilling and gullying). The steeper, more connected north‐facing slopesAbstract: Badland landscapes exhibit high erosion rates and represent the main source of fine sediments in some catchments. Advances in high‐resolution topographic methods allow analysis of topographic changes at high temporal and spatial scales. We apply the Mapping Geomorphic Processes in the Environment (MaGPiE) algorithm to infer the main geomorphic process signatures operating in two sub‐humid badlands with contrasting morphometric attributes located in the Southern Pyrenees. By interrogating a 5‐year dataset of seasonal and annual topographic changes, we examine the variability of geomorphic processes at multiple temporal scales. The magnitude of geomorphic processes is linked to landform attributes and meteorological variables. Morphometric differences between both adjacent badlands allow us to analyse the role of landform attributes in the main geomorphic process reshaping landscapes subjected to the same external forcing (i.e. rainfall and temperature). The dominant geomorphic process signatures observed in both badlands are different, despite their close proximity and the same rainfall and temperature regimes. Process signatures determining surface lowering in the gently sloping south‐facing badland, characterized by lower connectivity and more vegetation cover, are driven by surface runoff‐based processes, both diffuse (causing sheet washing) and concentrated (determining cutting and filling, rilling and gullying). The steeper, more connected north‐facing slopes of the other badland are reshaped by means of gravitational processes, with mass wasting dominating topographic changes. In terms of processes determining surface raising, both mass wasting and cutting and filling are most frequently observed in both badlands. There is a clear near‐balanced feedback between both surface‐raising and ‐lowering processes that becomes unbalanced at larger temporal scales due to the thresholds overcome, as the volume associated with surface lowering becomes higher than that associated with raising‐based processes. Rainfall variables control surface flow processes, while those variables associated with low temperature have a significant relation with mass movement‐based processes and other localized processes such as regolith cohesion loss. Finally, our results point out that morphometry (slope and connectivity) together with vegetation cover are key factors determining geomorphic processes and associated topographic changes. © 2020 John Wiley & Sons, Ltd. Abstract : Seasonal temporal scales are optimum for analysing specific geomorphic processes preparing and detaching sediments from the slopes. Annual temporal scales are required to estimate average values of erosion (i.e. denudation). Morphometry is a key factor that determines geomorphic processes and associated topographic changes. Slope, connectivity, and vegetation cover have a direct impact on triggering determinate geomorphic processes. Rainfall variables control surface flow processes while those variables associated with low temperature have a significant relation to mass movement-based processes. … (more)
- Is Part Of:
- Earth surface processes and landforms. Volume 45:Issue 5(2020)
- Journal:
- Earth surface processes and landforms
- Issue:
- Volume 45:Issue 5(2020)
- Issue Display:
- Volume 45, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 45
- Issue:
- 5
- Issue Sort Value:
- 2020-0045-0005-0000
- Page Start:
- 1292
- Page End:
- 1310
- Publication Date:
- 2020-02-11
- Subjects:
- badlands -- geomorphic process signatures -- morphometry -- meteorology -- topographic change -- MaGPiE algorithm
Geomorphology -- Periodicals
551.4 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/esp.4822 ↗
- Languages:
- English
- ISSNs:
- 0197-9337
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3643.564030
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13249.xml